促进能源转型的公平闭环政策:以控制为导向的方法

IF 1.8 Q3 AUTOMATION & CONTROL SYSTEMS
Eugenia Villa , Oriana Guagliardi , Valentina Breschi , Mara Tanelli
{"title":"促进能源转型的公平闭环政策:以控制为导向的方法","authors":"Eugenia Villa ,&nbsp;Oriana Guagliardi ,&nbsp;Valentina Breschi ,&nbsp;Mara Tanelli","doi":"10.1016/j.ifacsc.2025.100317","DOIUrl":null,"url":null,"abstract":"<div><div>The urgency of implementing effective policies to foster the energy transition and mitigate the devastating effects of climate change is undeniable. Nonetheless, the success of these policies is also closely intertwined with the necessity of preserving a delicate social balance when allocating resources toward a widespread transition. In response to this issue, we propose to adopt the recently proposed Fair-MPC scheme to introduce a control-oriented framework to aid policymakers in designing sustainability policies that are both effective and fair and evaluating existing policies by looking at these two key facets of sustainable technology diffusion. The modular design of our tool enables the assessment of fairness objectives integrated within the policy design strategy, striking a balance between impartial <em>equality</em> and inclusive <em>equity</em> with the imperative of cost minimization and effective diffusion of the transition process. Meanwhile, the flexibility of the framework makes it applicable to various scenarios, potentially representing a key tool in supporting all sectors involved in the energy transition. In this work, we prove its usability through its data-driven application in the context of the green mobility transition. Our analyses reveal that pursuing fairness objectives leads to a decrease (even if minor) in diffusion performance, underscoring the delicate balance between these frequently conflicting goals and highlighting the necessity of having quantitative tools to navigate the complexities characterizing social contexts.</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"32 ","pages":"Article 100317"},"PeriodicalIF":1.8000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fair closed-loop policies for fostering the energy transition: A control-oriented approach\",\"authors\":\"Eugenia Villa ,&nbsp;Oriana Guagliardi ,&nbsp;Valentina Breschi ,&nbsp;Mara Tanelli\",\"doi\":\"10.1016/j.ifacsc.2025.100317\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The urgency of implementing effective policies to foster the energy transition and mitigate the devastating effects of climate change is undeniable. Nonetheless, the success of these policies is also closely intertwined with the necessity of preserving a delicate social balance when allocating resources toward a widespread transition. In response to this issue, we propose to adopt the recently proposed Fair-MPC scheme to introduce a control-oriented framework to aid policymakers in designing sustainability policies that are both effective and fair and evaluating existing policies by looking at these two key facets of sustainable technology diffusion. The modular design of our tool enables the assessment of fairness objectives integrated within the policy design strategy, striking a balance between impartial <em>equality</em> and inclusive <em>equity</em> with the imperative of cost minimization and effective diffusion of the transition process. Meanwhile, the flexibility of the framework makes it applicable to various scenarios, potentially representing a key tool in supporting all sectors involved in the energy transition. In this work, we prove its usability through its data-driven application in the context of the green mobility transition. Our analyses reveal that pursuing fairness objectives leads to a decrease (even if minor) in diffusion performance, underscoring the delicate balance between these frequently conflicting goals and highlighting the necessity of having quantitative tools to navigate the complexities characterizing social contexts.</div></div>\",\"PeriodicalId\":29926,\"journal\":{\"name\":\"IFAC Journal of Systems and Control\",\"volume\":\"32 \",\"pages\":\"Article 100317\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IFAC Journal of Systems and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468601825000239\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IFAC Journal of Systems and Control","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468601825000239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

实施有效政策以促进能源转型和减轻气候变化的破坏性影响的紧迫性是不可否认的。然而,这些政策的成功也与在为广泛过渡分配资源时保持微妙的社会平衡的必要性密切相关。针对这一问题,我们建议采用最近提出的fair - mpc方案,引入一个以控制为导向的框架,以帮助决策者设计既有效又公平的可持续发展政策,并通过研究可持续技术扩散的这两个关键方面来评估现有政策。我们的工具采用模块化设计,能够评估整合在政策设计策略中的公平目标,在成本最小化的必要性和过渡过程的有效扩散下,在公正平等和包容性公平之间取得平衡。同时,该框架的灵活性使其适用于各种情况,可能成为支持参与能源转型的所有部门的关键工具。在这项工作中,我们通过其在绿色交通转型背景下的数据驱动应用来证明其可用性。我们的分析表明,追求公平目标会导致扩散性能的下降(即使是轻微的),强调了这些经常冲突的目标之间的微妙平衡,并强调了拥有定量工具来应对社会背景复杂性的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fair closed-loop policies for fostering the energy transition: A control-oriented approach
The urgency of implementing effective policies to foster the energy transition and mitigate the devastating effects of climate change is undeniable. Nonetheless, the success of these policies is also closely intertwined with the necessity of preserving a delicate social balance when allocating resources toward a widespread transition. In response to this issue, we propose to adopt the recently proposed Fair-MPC scheme to introduce a control-oriented framework to aid policymakers in designing sustainability policies that are both effective and fair and evaluating existing policies by looking at these two key facets of sustainable technology diffusion. The modular design of our tool enables the assessment of fairness objectives integrated within the policy design strategy, striking a balance between impartial equality and inclusive equity with the imperative of cost minimization and effective diffusion of the transition process. Meanwhile, the flexibility of the framework makes it applicable to various scenarios, potentially representing a key tool in supporting all sectors involved in the energy transition. In this work, we prove its usability through its data-driven application in the context of the green mobility transition. Our analyses reveal that pursuing fairness objectives leads to a decrease (even if minor) in diffusion performance, underscoring the delicate balance between these frequently conflicting goals and highlighting the necessity of having quantitative tools to navigate the complexities characterizing social contexts.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
IFAC Journal of Systems and Control
IFAC Journal of Systems and Control AUTOMATION & CONTROL SYSTEMS-
CiteScore
3.70
自引率
5.30%
发文量
17
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信